The control you need to stop policy abuse
Identify and stop abuse at the source to protect revenue while delivering a quality brand experience for your genuine customers
Give your loyal customers the experience they deserve with Forter Abuse Prevention
Proactively block policy abusers
Consumer abuse is growing exponentially, and businesses are losing billions of dollars every year. Accurately pin-point repeat abusers and either flag or block abusive behavior- based on your own strategies.
Cover every point of the journey
By leveraging our identity graph and network effects, we help you create and automatically enforce your business policies across all channels and interactions – at checkout or post-purchase.
Enhance brand loyalty
By creating protective policies, you can deliver the shopping experience customers love with personalized promotions, loyalty programs and brand perks – all while preventing policy abusers from taking advantage.
The world’s leading brands trust Forter
Frost & Sullivan
Analysis from Frost & Sullivan
“Forter’s Abuse Prevention enables merchants to accurately identify abusers, both online and offline, so they can offer consumer-friendly policies."
Build loyalty with risk-free policies
Use personas to spot (and stop) serial abusers who take advantage of coupons, discounts, redemptions and other similar promotions.
Employee benefits abuse
Prevent employees from abusing the perks and benefits you offer such as discounts or promotion codes.
Identify and block resellers that would otherwise purchase products (typically in volume) for resale without approval.
Block policy abusers from using third-party addresses to take advantage of product availability.
Limited item abuse
Prevent items released in limited quantities from being purchased in bulk by policy abusers.
Surface and block personas with a pattern of returning products that have been worn, damaged or otherwise compromised.
Item Not Received (INR) abuse
Spotlight the personas who repeatedly make INR claims and prevent them from abusing your policies.